Quality Engineering

Build quality into delivery, reduce risk and release with confidence

Settings@2x 1
Embed quality earlier across your requirements, design, development, testing and release.
AI-Powered Testing
Reduce rework, bottlenecks and production risk across your complex digital estates.
Video Conference@2x 1
Make better release decisions using your connected evidence, insight and governance.

Engineer quality continuously, not just at the end

If you are working with faster release cycles, complex architectures, connected devices, cloud platforms, regulatory pressure and rising customer expectations, traditional testing cannot keep pace on its own. Quality needs to be designed, engineered and evidenced across your SDLC.

Resillion helps you move from reactive testing to continuous Quality Engineering. We combine shift-left practices, automation, Agile and DevOps integration, non-functional assurance, Quality Intelligence, AI-assisted engineering and global delivery capability to help you prevent defects earlier and release lower-risk software at speed.

Software engineer monitoring automated testing and development

What we offer

We specialise in key Quality Engineering services such as: 

Creativity@2x 2

Quality Intelligence

Make better release decisions with real-time quality intelligence insights.

Project@2x 1

Agile and DevOps 

Improve software delivery performance with end-to-end Agile and DevOps expertise.

Subsititue@2x 4

Continuous testing

Assure every release with AI-assisted continuous testing and automation.

Start where you are and scale continuous quality with control

Quality Engineering does not need a disruptive reset. We help you improve from your current maturity level, whether you need stronger foundations, better automation, continuous validation, AI assistance or a more connected Total Quality model.

BASELINE

You understand your quality maturity, test coverage, automation estate, bottlenecks, toolchain limits and release risks.

Outcome: A clear view of what is slowing your delivery and what to improve first.

MODERNISE

You embed shift-left practices, improve automation and align quality with Agile and DevOps workflows.

Outcome:Faster validation, fewer late defects and stronger collaboration across your teams.

SCALE

You connect quality, security, performance, compliance and release evidence through continuous QE, AI-assisted automation and Quality Intelligence.

Outcome: A scalable quality model that improves your confidence, coverage and resilience.

The ecosystem that turns Quality Engineering strategy into delivery

In delivering our services, we continually work to increase efficiency and outcome for our customers. We use AI-integrated tools, platforms, methods and accelerators to do this, developed inhouse and available to all our consultants and engineers.

QE maturity assessment scaled

Benchmarks your maturity, bottlenecks, automation, governance and AI readiness.

Result: A clear baseline for your improvement priorities.

Continuous monitoring scaled

Connects your quality practices, tools, data and workflows across the SDLC.

Result: A scalable model for embedding quality into your delivery.

Quality Intelligence Platform

Connects your test, defect, automation, CI/CD and delivery data into insight.

Result: Clearer release decisions based on your evidence.

Automation process and technology concept with business workflow visualization

Accelerates test creation, execution, maintenance and regression coverage.

Result: Higher coverage with less manual automation effort for your teams.

Warehouse worker scanning packages with AI-Powered Quality Engineering data display

Accelerates quality engineering and AI assurance with AI-driven agents and pre-built accelerators for testing, validation and delivery workflows.

Result: Scalable AI-driven quality engineering and assurance with governance, consistency and control.

Technician assembling electronic components on a production line

Assesses and assures AI systems against regulatory, data, model, safety and operational readiness requirements across the AI lifecycle.

Result: A governed approach to AI assurance and regulatory compliance.

CASE STUDY

Quality Engineering accelerating smart meter delivery for a UK energy provider

Challenge: A UK energy provider needed to improve smart meter testing across complex devices, changing regulations and tight delivery timelines. Manual testing was creating long cycles and delivery bottlenecks.

Approach: Resillion embedded Quality Engineering into delivery and introduced a scalable automated testing platform with continuous validation and parallel testing across real devices.

Result: Testing cycles fell from weeks to days, issues were identified earlier and the provider gained greater confidence in delivering smart energy services at scale.

Read more: Reducing smart meter testing time

User reviewing application performance and quality metrics

Trusted by leading organisations

Helping organisations improve quality, resilience and delivery confidence across complex digital estates.

WHY US?

Why Resillion for Quality Engineering 

Team collaborating on software development and testing

Quality built in from the start

You can embed quality across requirements, design, development, testing and release, helping your teams prevent defects earlier.

Developers and testers working on automation and test execution

End-to-end assurance coverage

You get functional, non-functional, cyber, compliance, accessibility, interoperability and UX assurance across your digital ecosystem.

Engineer overseeing server performance and operations

Faster feedback through automation and AI

You can combine engineering expertise, automation and AI assistance to increase coverage, reduce manual effort and speed up feedback.

WHY NOW?

What happens if you don’t apply best-practice QE?  

Opting to take short cuts when it comes to QE can translate to greater cost and more risk. 

Legal professional reviewing documents on tablet
63 %

of organisations ship code without completing all necessary testing

Developer working on software applications
100 x

Fixing issues after go live can cost up to 100× more than addressing them earlier in the lifecycle

Our experts

Conor Thomson

Expert in Quality Engineering and AI Practices

Conor is a Global Solution Architect with 12 years’ experience in Quality Engineering, QA, test automation, software delivery, AI engineering, and digital transformation.

Explore

Find out more about our other Digital Assurance services: